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I am a masters student at UCSD pursuing an M.S. in Mechanical Engineering, where I work with Sylvia Herbert. I am also co-advised by Jason Choi at UCLA. I plan to pursue a Ph.D. beginning in Fall 2027, with research interests at the intersection of control theory and machine learning for safe and robust robotics. My long-term goal is to develop learning-based decision making algorithms with an emphasis on safety and performance guarantees that can be deployed on real-world systems. Email / CV / Google Scholar / Github |
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Machine learning / Autonomous systems / Safe and robust control / Foundational models |
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Internal Force Fine-Tuning for Diffusion Policies in Cooperative Manipulation
Ryan Teoh, Sean Liu, Jason Choi
Preliminary work to appear at the Science of Physical AI Safety (SPAIS) Workshop, Conference on Robot Learning (CoRL 2026 Austin). [project page coming soon]
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MADR: MPC-Guided Adversarial DeepReach
Ryan Teoh*, Sander Tonkens*, William Sharpless, Anija Yang, Zeyuan Feng, Somil Bansal, Sylvia Herbert
Presented at the Internation Conference on Robotics and Automation (ICRA 2026 Vienna). [project page]
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Deep Reinforcement Learning Control of an Oscillating Hydrofoil to Maximize Power Extraction
Ryan Teoh, Zhecheng Liu, Jeff Eldredge
Presented at the Southern California Fluids Conference (SoCal Fluids), 2025. [conference presentation] [poster]
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Master of Science (M.S.) in Mechanical Engineering
University of California, San Diego Advisor: Sylvia Herbert September 2026 — Present |
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Bachelor of Science (B.Sc.) in Aerospace Engineering, Minor in Data Science Engineering
University of California, Los Angeles September 2022 — March 2026 |
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Feel free to contact me regarding my research—I am always happy to brainstorm and share my ideas. I can be contacted directly at ryanteoh001 [at] gmail [dot] com. |
| Template sourced from Jon Barron at https://github.com/jonbarron/website. Last updated in May 2026. |